Base Salary
$200k - $300k/yr
Responsibilities
- Partner with healthcare executives, clinical leaders, business stakeholders, and technology teams to identify AI transformation opportunities.
- Translate healthcare challenges into scalable AI architectures, technical strategies, and implementation roadmaps.
- Design enterprise solutions using generative AI, LLMs, AI agents, RAG, intelligent automation, and multi-agent workflow orchestration.
- Lead AI solution delivery from discovery and architecture through prototyping, production deployment, and optimization.
- Design AI-enabled workflows for claims processing, prior authorization, care management, provider operations, member services, and payment integrity.
- Guide implementation of AI applications using modern frameworks, cloud platforms, APIs, and enterprise data ecosystems.
- Establish AI architecture standards, reusable frameworks, accelerators, and responsible AI practices.
- Support governance activities involving model monitoring, explainability, security, compliance, and evaluation.
- Lead technical workshops, architecture reviews, executive presentations, and solution demonstrations.
- Mentor engineering teams and support AI adoption and enablement across business and technical teams.
Requirements
- 10+ years of experience in software engineering, AI engineering, machine learning, enterprise architecture, or digital transformation.
- Hands-on experience designing and implementing generative AI and AI/ML solutions in enterprise environments.
- Strong understanding of LLMs, AI agents, prompt engineering, RAG architectures, and AI application patterns.
- Experience delivering production-grade AI solutions from concept through deployment.
- Strong software engineering background with proficiency in Python, APIs, and cloud-based application development.
- Experience designing AI workflows, orchestration patterns, tool integrations, and enterprise AI architectures.
- Experience with AWS, Microsoft Azure, or Google Cloud Platform.
- Ability to translate business requirements into technical architectures and communicate with technical and executive audiences.
- Experience working with clients, business stakeholders, or cross-functional teams in consulting or enterprise settings.
- Experience with AI governance, security, monitoring, evaluation frameworks, and responsible AI practices.
- Healthcare industry experience, including payer or provider workflows, healthcare operations, and regulated environments.
- Knowledge of HIPAA and healthcare data privacy considerations.
- Preferred experience with LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Claude, OpenAI, Gemini, healthcare AI use cases, HL7, FHIR, ICD-10, CPT, claims data structures, vector databases, embeddings, enterprise search, Salesforce, ServiceNow, Epic, and reusable AI architecture frameworks.
Tech Stack
Categories
About Brillio
Brillio is The Enterprise AI Accelerator helping Fortune 1000 companies move from AI ambition to scaled impact, faster. Powered by our AI accelerator platform - Agentic Data and Application Management (ADAM), Brillio is one of the fastest-growing digital technology service providers, delivering transformation across five core workstreams: business-led transformation, customer experience transformation, AI and data engineering, digital engineering, and infrastructure engineering. With 14 delivery locations across North America, Europe, and Asia and a team of over 6,000 customer-obsessed professionals, Brillio combines deep industry expertise, modern engineering, and accelerators to deliver measurable outcomes. Brillio accelerates AI by industrializing it across every layer of the business so companies don't just use AI, they operate by it, at reliable enterprise scale.